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cs.LG2025
e-SimFT: Alignment of Generative Models with Simulation Feedback for Pareto-Front Design Exploration
Hyunmin Cheong, Mohammadmehdi Ataei, Amir Hosein Khasahmadi +1
Deep generative models have recently shown success in solving complex engineering design problems where models predict solutions that address the design requirements specified as i…
cs.LG2025
mPOLICE: Provable Enforcement of Multi-Region Affine Constraints in Deep Neural Networks
Mohammadmehdi Ataei, Hyunmin Cheong, Adrian Butscher
Deep neural networks are increasingly used in safety-critical domains such as robotics and scientific modeling, where strict adherence to output constraints is essential. Methods l…